Porting Data | |

About

Dominik Huffield

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About || Porting Data

Project Pipeline

Here to provide the community with a platform to better understand projects whilst debuting my best works.

Professional Summary

Resourceful individual possessing expertise in statistical model development and scalable data storage. Specifically, skilled in scrutinizing large data sets through a combination of architecture and machine learning to yield signal within the noise.

Experience

Machine Learning Researcher

Boise State University - Boise, ID

Collaborate with researchers (Material Science PhD students) to aid their research in bulk metallic glasses, specifically seeking methods of mass production. Operating as the teams data scientist my functional objective was to bolster the teams workflow while maintaining agility. This objective was achieved by:

  1. Constructing visualizations to better understand exploratory results
  2. Preforming data cleansing & preprocessing to optimize the quality of models input data
  3. Training models to identify alloys with high glass forming abilities

    Tools Used

  • MAST-ML: Materials Simulation Toolkit for Machine Learning
  • MAST-ML is an open-source Python package designed to broaden and accelerate the use of machine learning in materials science research.

  • Citrination:
  • A platform combining data infrastructure with materials and chemicals specific AI to help companies accelerate product development.

  • Python:
  • Programming language doing the leg work of projects; allowing for the ability to manipulate, move, clean and visualize experiment data.

Data Analyst

Tis the Season LLC - Boise, ID

One of the founding member of members; 'Tis The Season LLC' seeks to employ students doing miscellaneous tasks for our clientele (e.g. mowing lawns, babysitting, shoveling snow etc). This software at one point was successful enough to have possessed a workforce of nearly 30 individuals. Additionally we entered this software in the 2019 Idaho Entrepreneurial Competition and procured $7,000 in prize money. Services were provided via the web or on mobile devices via the app store and googles play store.

Throughout the development of this proprietary software responsibilities included:

  • Manage client/employee data in mySQL database
  • Develop interactive dashboards visualizing analytics
  • Analyze data to make growth projections for financial and market spending
  • Segment client/employee data using clustering techniques

    Tools Used

  • Apache HTTP Server:
  • The virtual private server used to host each variant of the app

  • my-SQL:
  • The relational database management system used to house account, metric and sales data

  • PowerBI:
  • Utilized to streamline the construction of dashboards representing trends for financial and market insight

Education

Boise State University - Boise, ID

  • Bachelors of Science - Business & Economic Analytics

Awards

Idaho Entreprenuerial Competition

A statewide university competition to develop and reward student entrepreneurs with promising ventures and small businesses

Company Entered:

'Tis The Season LLC'

Final Ranking:

2nd in Technology

Total Winnings:

$7,000.00

Certifications

Python Beyond the Basics - Object-Oriented Programming

Udemy - March 2020

Credential URL

Technical Skills

Languages
  • Python
    • Paramiko
    • Tensorflow
    • Scikit-learn
    • Pandas
    • Numpy
    • MatPlotLib
    • Seaborn
  • Java
  • C
Databases
  • SQL
  • MongoDB
  • Redis
Data Structures
  • B-tree
  • Graph Theory
  • AVL Tree
  • Binary Search Tree
  • Linked Lists
  • Stacks & Queues
Algorithms
  • Dynamic Programming
  • Greedy Algorithms
  • Minimum Spanning Tree
Machine Learning Models

    Regression

  • Ordinary Least Squares
  • Fixed Effects
  • Polynomial
  • Random Forest Regression
  • Lasso
  • Classification

  • Logistic Regression
  • Support Vector Machine
  • Naive Bayes
  • Clustering

  • K-means
  • K-Nearest-Neighbor
  • Dimensionality Reduction

  • Missing values ratio
  • Low Variance Filter
  • High Correlation Filter
Deep Learning Models
  • Generative Adversarial Networks
  • Convolutional Neural Network